Hábitos y enfermedades sistémicas en relación con el estado periodontal de mujeres embarazadas by Yunaydis Tamayo Avila, Mariam de la Caridad Aguilera Aguilera, Sara Maria Legra Matos, Aluett Niño Peña

“…La periodontitis fue diagnosticada cuando se detectó pérdida de inserción periodontal interdental en dos o más dientes no adyacentes ≥ 3 mm, con profundidades > 3 mm detectable en dos o más dientes. Se identificaron higiene bucal, adicción tabáquica, diabetes mellitus, obesidad y anemia. …”
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Predicting Bank Operational Efficiency Using Machine Learning Algorithm: Comparative Study of Decision Tree, Random Forest, and Neural Networks by Peter Appiahene, Yaw Marfo Missah, Ussiph Najim

“…This is because stakeholders have to detect the underlying causes of inefficiencies within the banking industry. …”
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MicroRNAs signatures as potential molecular markers in mild cognitive impairment: a meta-analysis by Natalia Vargas-Rondón, Yeimy González-Giraldo, Ángela Y. García Fonseca, Janneth Gonzalez, Andrés Felipe Aristizabal-Pachon

“…Its high heterogeneity and elevated conversion rate to dementia pose challenges for accurate diagnosis and monitoring, highlighting the urgent need to identify methodologies focused on the early detection and intervention of MCI. Due to their biological characteristics, microRNAs (miRNAs) are potential candidates as non-invasive molecular markers for the identification and assessment of MCI progression. …”
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Asiaticoside Suppresses Gastric Cancer Progression and Induces Endoplasmic Reticulum Stress through the miR-635/HMGA1 Axis by Chao Zhang, Xiaolin Ji, Zhenguang Chen, Zhichao Yao

“…Endoplasmic reticulum stress was detected through measuring the expressions of GRP78, Chop, and hnRNPA1 by Western blot. …”
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Prevalence of direct antiglobulin test positive in whole blood donors: Study at a tertiary blood center Northern India by Jyoti Bharti, Archana Solanki, Ashutosh Singh, Mallika Agarwal, Tulika Chandra

“…BACKGROUND: The direct antiglobulin test (DAT) detects red blood cell (RBC) sensitivity to complement or IgG in vivo. …”
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Characteristics of Invasive Pulmonary Fungal Diseases Diagnosed by Pathological Examination by Dong Zhang, Xin Li, Junquan Zhang, Junping Wu, Xin Sun

“…Among 48 cases, 32 specimens were submitted to fungal culture. No fungus was detected in culture, although 26 cases of fungus infections were diagnosed by histopathological analysis. …”
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The Microbial Activity in PM2.5 in Indoor Air: As an Index of Air Quality Level by Hanlin Chen, Rui Du, Weishan Ren, Sujian Zhang, Pengrui Du, Yongtao Zhang

“…Thus, this study used a modified technique of fluorescein diacetate (FDA) hydrolysis to evaluate the activity of microorganisms in the PM2.5 during three seasons (summer, autumn and winter) in Beijing. 0.155–5.388 ng m−3 and 0.091–5.740 ng m−3 of sodium fluorescein, a marker of microbial activity, were measured indoors and outdoors, respectively; thus, no significant difference in concentration between the two environments was detected, but the indoor activity was affected by outdoor conditions to an extent. …”
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Analysis of Apple Flavours: The Use of Volatile Organic Compounds to Address Cultivar Differences and the Correlation between Consumer Appreciation and Aroma Profiling by Gareth Roberts, Natasha D. Spadafora

“…Forty compounds were detected and putatively identified by mass spectral comparison with NIST libraries. …”
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Escherichia coli stress response systems and their reaction to terahertz radiation by S. E. Peltek, E. V. Demidova, V. M. Popik, T. N. Goryachkovskaya

“…We discuss experimental results for E. сoli/ pKatG-GFP, E. сoli/pCopA-GFP, and E. сoli/ pEmrR-GFP biosensors that are used to detect E. сoli genetic networks responding to oxidative stress, copper ion homeostasis failures, and antiseptics, respectively. …”
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Research on credit card transaction security supervision based on PU learning by Renfeng CHEN, Hongbin ZHU

“…The complex and ever-evolving nature of credit card cash out methods and the emergence of various forms of fake transactions present challenges in obtaining accurate transaction information during customer interactions.In order to develop an accurate supervision method for detecting fake credit card transactions, a PU (positive-unlabeled learning) based security identification model for single credit card transactions was established.It was based on long-term transaction label data from cashed-up accounts in commercial banks’ credit card systems.A Spy mechanism was introduced into sample data annotation by selecting million positive samples of highly reliable cash-out transactions and 1.3 million samples of transactions to be labeled, and using a learner to predict the result distribution and label negative samples of non-cash-out transactions that were difficult to identify, resulting in 1.2 million relatively reliable negative sample labels.Based on these samples, 120 candidate variables were constructed, including credit card customer attributes, quota usage, and transaction preference characteristics.After importance screening of variables, nearly 50 candidate variables were selected.The XGBoost binary classification algorithm was used for model development and prediction.The results show that the proposed model achieve an identification accuracy of 94.20%, with a group stability index (PSI) of 0.10%, indicating that the single credit card transaction security identification model based on PU learning can effectively monitor fake transactions.This study improves the model discrimination performance of machine learning binary classification algorithm in scenarios where high-precision sample label data is difficult to obtain, providing a new method for transaction security monitoring in commercial bank credit card systems.…”
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Adversarial example defense algorithm for MNIST based on image reconstruction by Zhongyuan QIN, Zhaoxiang HE, Tao LI, Liquan CHEN

“…With the popularization of deep learning, more and more attention has been paid to its security issues.The adversarial sample is to add a small disturbance to the original image, which can cause the deep learning model to misclassify the image, which seriously affects the performance of deep learning technology.To address this challenge, the attack form and harm of the existing adversarial samples were analyzed.An adversarial examples defense method based on image reconstruction was proposed to effectively detect adversarial examples.The defense method used MNIST as the test data set.The core idea was image reconstruction, including central variance minimization and image quilting optimization.The central variance minimization was only processed for the central area of the image.The image quilting optimization incorporated the overlapping area into the patch block selection.Considered and took half the size of the patch as the overlap area.Using FGSM, BIM, DeepFool and C＆amp;W attack methods to generate adversarial samples to test the defense performance of the two methods, and compare with the existing three image reconstruction defense methods (cropping and scaling, bit depth compression and JPEG compression).The experimental results show that the central variance minimization and image quilting optimization algorithms proposed have a satisfied defense effect against the attacks of existing common adversarial samples.Image quilting optimization achieves over 75% classification accuracy for samples generated by the four attack algorithms, and the defense effect of minimizing central variance is around 70%.The three image reconstruction algorithms used for comparison have unstable defense effects on different attack algorithms, and the overall classification accuracy rate is less than 60%.The central variance minimization and image quilting optimization proposed achieve the purpose of effectively defending against adversarial samples.The experiments illustrate the defense effect of the proposed defense algorithm in different adversarial sample attack algorithms.The comparison between the reconstruction algorithm and the algorithm shows that the proposed scheme has good defense performance.…”
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On the diversity of malaria parasites in African apes and the origin of Plasmodium falciparum from Bonobos. by Sabrina Krief, Ananias A Escalante, M Andreina Pacheco, Lawrence Mugisha, Claudine André, Michel Halbwax, Anne Fischer, Jean-Michel Krief, John M Kasenene, Mike Crandfield, Omar E Cornejo, Jean-Marc Chavatte, Clara Lin, Franck Letourneur, Anne Charlotte Grüner, Thomas F McCutchan, Laurent Rénia, Georges Snounou

“…Using PCR amplification, we detected Plasmodium parasites in blood samples from 18 of 91 individuals of the genus Pan, including six chimpanzees (three Pan troglodytes troglodytes, three Pan t. schweinfurthii) and twelve bonobos (Pan paniscus). …”
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Genetic diversity of single-celled microorganism Blastocystis sp. and its associated gut microbiome in free-ranging marine mammals from North-Western Mediterranean Sea by Marianna Marangi, Sonia Boughattas

“…Moreover, Firmicutes, Bacteroidetes and Proteobacteria within the different Blastocystis-carrier marine mammal species as well the identification of Archaebacteria from Methanomethylophilaceae family within the fin whale isolate were detected by Illumina V3-V4 generated data. The present survey presents new insights regarding Blastocystis sp. prevalence and its circulating zoonotic ST1-ST3 subtypes from the marine environment, as well as its associated gut microbiome, providing hence baseline data for a better understanding of the associated risk and to prevent human and marine ecosystem exposure to these anthropogenic microorganisms.…”
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Evaluation of Fetuses Diagnosed with Megacystis During Prenatal Period by Kemal Sarsmaz, Busra Kanyildiz, Gokcen Orgul, Gokhan Karakoc, Hasan Eroglu, Dilek Sahin, Aykan Yucel

“…Results: A total of 15 megacystis patients were detected. One of the fetuses was female and the remaining cases were male. …”
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Characterization of <i>Clostridium perfringens</i> Phage Endolysin PlyDolk21 by Suyoung Seo, Bokyung Son, Minsuk Kong

“…<b>Conclusions:</b> This study demonstrates that PlyDolk21 and its CBD hold potential as a biocontrol and detection agent targeting <i>C. perfringens</i> in various food matrices.…”
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Prevalence of oral side effects associated with chemo and radiotherapy in head and neck cancer treatment: A cross-sectional study in Egypt by Dalia Mohamed abo el Fadel, Yasmine Kamal, Ashraf Hamed Hassouna, Amal Ali

“…Background: different treatment modalities used for treating head and neck cancer are associated with oral side effects that affect patients’ quality of life. This study aims to detect the prevalence of different oral side effects associated with chemo and radiotherapy in head and neck cancer. …”
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Transcription Factor FXR Activates DHRS9 to Inhibit the Cell Oxidative Phosphorylation and Suppress Colon Cancer Progression by Jinlai Zhao, Yigang Wang, Yang Wang, Jianchao Gao, Haichao Yang, Xiaotang Wu, Hua Li

“…The changes of oxidative phosphorylation were detected by Western blot and oxygen consumption rate determination. …”
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Interaction of the community police officer with the structural units of the National Police and other entities that implement measures to prevent and combat domestic violence by О. О. Panova, M. O. Sherbyna

“…It is emphasized that the educational institution may act as an entity that detects the facts of domestic violence, within this activity the community police officer is invited to find out the real circumstances of the case, and later, if the fact of violence is confirmed, to draw up appropriate procedural documents. …”
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Leaner Women with Impaired Insulin Secretion Accounts for about 40% of Gestational Diabetes Mellitus in Japan by Seishi Furukawa, Yoichi Kobayashi

“…The cut-off value of the homeostasis model assessment insulin resistance (HOMA-IR) for detecting GDM was determined. The GDM group was divided into subgroups according to insulin resistance based on the cut-off value of HOMA-IR. …”
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Prevalence of Plasmid-Mediated Quinolone Resistance Determinants and OqxAB Efflux Pumps among Extended-Spectrum β-Lactamase Producing Klebsiella pneumoniae Isolated from Patients w... by Mehdi Goudarzi, Mehdi Azad, Sima Sadat Seyedjavadi

“…Of the 247 isolates tested, qnrA, qnrB, qnrS, and qepA genes were present in 3.6%, 1.6%, 1.2, and 2%, respectively. oqxA and oqxB were detected in 56.7% and 54.6% of isolates. The predominant coexisting ESBL and PMQR profile among our isolates included blaCTX-M and aac(6′)-Ib, oqxA, oqxB (28.3%) and blaTEM, blaSHV and aac(6′)-Ib, oqxA, and oqxB (19.4%) profile.  …”
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